This study aimed to explore the differences in characteristics of scalp aging and visual attention across genders in a Chinese population.
Methods
This study recruited 79 Han Chinese participants aged 31–47 years from Shanghai, China. Using a combination of non-invasive instrumental measurements, eye-tracking technology, and subjective questionnaires, we analyzed scalp aging manifestations through three physiological dimensions—barrier function, microecology, and scalp skin color—while examining visual attention patterns toward scalp aging features through eye-tracking and assessing subjective cognitive and emotional responses via questionnaires.
Results
The results revealed no significant gender differences in scalp barrier function. Instrumental measurements showed no notable differences in stratum corneum moisture content or transepidermal water loss (TEWL) between genders, and subjective evaluations of moisture, glossiness, greasiness, and tightness also showed no significant variations. However, significant gender differences were observed in scalp microecology: women exhibited higher dandruff area proportion and pH, along with more severe subjective concerns regarding hair loss. In terms of scalp skin color, men had higher a* values, though no significant gender difference was reported in subjective perceptions of scalp redness. Regarding visual attention, eye-tracking data indicated distinct gender-based patterns: women focused more persistently on dandruff and hair loss, allocating greater cognitive resources to these features, whereas men exhibited more concentrated and frequent attention to gray hair and oily scalp. Subjectively, the majority of participants believed that scalp aging negatively impacts personal attractiveness and reported high levels of concern.
Conclusion
This study revealed significant gender-based differences in physiological characteristics and visual attention patterns associated with scalp aging in the Han Chinese population in Shanghai, China. These findings provide a scientific basis for understanding scalp aging and for developing related products.
eye-trackinggender differencenon-invasiveinstrumental measurementscalp agingsubjective questionnairesvisual attentionThe author(s) declared that financial support was received for this work and/or its publication. This research received funding supported by the independent research fund of the Yunnan Characteristic Plant Extraction Laboratory (2025YKZY003 and 2025YKZY001). The funder had no involvement in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.section-at-acceptanceDermatologyIntroduction
With the accelerating aging population, skin aging has increasingly become a focal issue of public concern (1–3). As a visible indicator of systemic aging, the skin not only serves essential barrier and defensive functions but also carries sociopsychological significance as a symbol of “external attractiveness” (4). Skin aging is a complex biological process that is categorized into intrinsic aging, driven by genetic factors, hormonal changes, and mitochondrial dysfunction, and extrinsic aging, primarily caused by external factors such as UV radiation, air pollution, tobacco smoke, and lifestyle (5–7). The “primary site” of aging is not limited to the face: the scalp, which covers approximately two-thirds of the head and facial skin, also undergoes a similar aging process, influenced by genetic regulation, oxidative stress, inflammatory responses, microcirculatory impairment, and follicular degeneration (8–10). Furthermore, with the growing emphasis on self-care and personal wellbeing (“self-pleasure ideology”), public attention toward scalp appearance is increasing. Nevertheless, visual attention research focusing on the external manifestations of scalp aging remains limited.
In recent years, eye-tracking technology has emerged as a non-invasive tool that captures ocular behaviors—such as gaze trajectories, fixation duration, and pupil variations—to infer underlying cognitive processes and psychological states, such as emotional responses (11–15). Owing to these advantages, it has been widely applied across domains such as interface optimization in human–computer interaction (16), attention monitoring in intelligent driving (17), and auxiliary diagnostics in healthcare (18). Despite these advancements, its application in the cosmetics industry remains limited, particularly in evaluating the visual characteristics of scalp aging. Similarly, in the field of cosmetics, eye-tracking can quantify consumers’ visual attention to packaging, advertising, and usage (19–21), which in turn can assist formulation optimization and precision marketing. However, research on visual attention to aging features of the facial and scalp skin (e.g., discoloration, wrinkles, dandruff, and hair loss) remains limited. The present study used eye-tracking to examine how participants visually attend to scalp aging features, thereby providing an objective basis for understanding these characteristics.
According to the Expert Consensus on Scalp Anti-Aging in China, objective manifestations of scalp aging include impaired barrier function (e.g., dryness, flaking, and excessive sebum), thinning and laxity of the scalp, pruritus, inflammation, cutaneous neoplasms, graying and thinning of hair, and hair loss (22). While previous studies have largely focused on age-related changes in women (23, 24), gender differences remain underexplored. Evidence from Maymone suggests that signs of scalp aging typically become clear after the age of 30 (9, 25). Therefore, this study targets the 31–47 age group and employs a multimodal approach combining instrumental measurements and eye-tracking to comprehensively assess gender-based differences in scalp aging characteristics and visual attention patterns among Chinese adults. The findings aim to provide new insights and scientific support for efficacy evaluation in cosmetic development, thereby enriching research in this emerging field.
Materials and methodsParticipants
This study recruited a total of 79 healthy male and female participants aged 31–47 years in Shanghai, China, in May 2025. The inclusion criteria were as follows: Han Chinese ethnicity with continuous residency in Shanghai for ≥2 years; an intact scalp without conditions such as breakouts, acne, scars, birthmarks, pigmented nevi, or inflammation; no chemical hair treatments (e.g., dyeing, perming, or styling) within the past 3 months; and normal or corrected-to-normal vision, with no color blindness or color weakness. The exclusion criteria included pregnancy, lactation, or plans for pregnancy in the near future; severe androgenic alopecia, alopecia areata, inflammatory scarring alopecia, or other scalp or hair disorders; diagnosed psychiatric or psychological conditions; chronic sleep disorders or emotional dysregulation; high physical sensitivity; or a history of hair transplant procedures. The study strictly adhered to the principles of the Declaration of Helsinki, and all participants provided written informed consent after being fully informed of the study details. The protocol was approved by the Jiyan Ethics Research Committee (No.: JYE20250503).
Instruments
A range of non-invasive instruments was employed to assess scalp biophysical properties: Skin-pH-Meter (CK, Germany), Sebumeter SM 815 (CK, Germany), Skin-Glossymeter (CK, Germany), Indentometer IDM 800 (CK, Germany), Visioscan® VC 20plus (CK, Germany), D-Squame Pressure Instrument D500 (CuDerm, USA), Vapometer Nano (Delfin, Finland), PhotoMax Pro (DMS, Austria), Image-Pro Plus (IPP; Media Cybernetics, USA), DermaLab® Combo (Cortex, Denmark), and Tobii Pro Fusion (Tobii, Sweden).
Study design
Non-invasive instruments were first used to collect physiological parameters of the participants’ scalps, followed by the completion of self-assessment questionnaires. Finally, an eye-tracking task and a visual perception questionnaire were administered.
Collection of scalp aging characteristics
Before the participants’ visit, they were required not to wash their hair for 48 ± 4 h. After arriving at the laboratory, the ambient temperature was 20–22 °C, and the humidity ranged from 40 to 60%. After balancing for 30 min, a total of 10 physiological parameters were collected. The specific parameters and measurement conditions are shown in Table 1.
Measurement of scalp physiological parameters.
Instrument
Parameters
Definitions
Measurement area
Collection times
Ultrasound DermaLab®Combo
Hydration
The larger the measured value, the higher the moisture content of the stratum corneum of the skin
The parietal bone spins
3
Temperature
The larger the measured value, the higher the skin temperature
The parietal bone spins
3
Vapometer
TEWL
The smaller the measured value, the less water evaporates from the skin within a unit of time
The parietal bone spins
2
Indentometer IDM800
The softness of the skin
The larger the measured value is, the softer the skin is
The parietal bone spins
3
Skin-pH-Meter pH 905
pH
The smaller the measured value, the more acidic the skin is
The parietal bone spins
3
Skin-glossymeter
Glossiness
The larger the measured value, the more lustrous the skin is
The parietal bone spins
3
Sebumeter SM 815
Sebum
The larger the measured value, the higher the sebum
The parietal bone spins
2
Visioscan® VC 20plus
Stratum corneum peeling index
The larger the analyzed value, the higher the proportion of dandruff
Bilateral temporal regions
1#
PhotoMax Pro/IPP
a*
The larger the analysis value, the redder the skin
The parietal bone spins
2#
b*
The larger the analysis value, the yellower the skin
#Indicates image acquisition. The asterisk (*) is the standard symbol for the CIE L*a*b* color space.
Self-assessment
The participants conducted self-evaluations in front of a mirror under lighting with the same color temperature and completed the questionnaires simultaneously. The questionnaire primarily included items on scalp moisture, dandruff, scalp oil, scalp tightness, scalp itching, scalp softness, scalp elasticity, scalp color, scalp glossiness, hair loss, and overall hair density. The scoring system adopted a scale ranging from 1 to 5 (1 point = very poor, 2 points = poor, 3 points = average, 4 points = good, and 5 points = very good). For each item, the scoring criteria were described in detail. For example, for hair loss, 1 point indicated very poor (excessive and very obvious hair loss), whereas 5 points indicated very good (healthy hair with no hair loss).
Eye-tracking task
Participants were seated in a quiet environment with controlled, moderate lighting. The experiment was conducted using a 24-in laptop (16,9 aspect ratio, 1920 × 1,080 resolution) for visual stimulus presentation. Prior to the task, the researcher explained the procedure and precautions to each participant. An eye-tracker calibration was performed to ensure accurate gaze recording. During calibration, participants were instructed to maintain a distance of 60 cm from the screen and focus on a central black crosshair target. The target remained visible for 1–3 s before moving horizontally to positions ±10° from the center, where it stayed for an additional 1–2 s.
After successful calibration, a stimulus image displaying five characteristic signs of scalp aging—dandruff, pigmentation, gray hair, oily scalp, and hair loss—was presented on the screen for 20 s. The features were arranged uniformly in a random order to mitigate central bias (14). Subsequently, participants completed a questionnaire and a brief interview aimed at capturing their subjective perceptions of the visual stimuli and their cognitive awareness of aging features, thereby providing insight into their psychological and behavioral responses. The entire session lasted approximately 20 min. A schematic overview of the experimental procedure is provided in Figure 1.
Schematic diagram of eye-tracking.
Flowchart depicting a test procedure with three phases: Preparatory, Formal Test, and Completion. The preparatory phase involves explaining the test procedure and instrument calibration, shown with a calibration interface image. The formal test phase includes stimulus material presentation for twenty seconds, illustrated with images of hair. The completion phase involves filling out a questionnaire and conducting on-site interviews, depicted with icons of people sitting at a table, followed by the test's end.Data selection
This study employed key eye-tracking metrics related to visual fixation to examine participants’ visual attention to scalp aging features. The selected indicators included time to first fixation, first fixation duration, total fixation duration within the area of interest (AOI), average fixation duration, visit duration, fixation count within the AOI, and number of visits to the AOI. Definitions and interpretations of each parameter are provided in Table 2. Using the AOI tool in Tobii Pro Lab software, regions of interest were precisely delineated for each scalp feature. The software’s visualization function was then utilized to generate heatmaps, providing intuitive graphical support for analyzing gaze patterns.
Parameters related to eye-tracking.
Parameters
Description
Time to first fixation in AOI/s
The time required from the start of stimulation in the area of interest to the participant’s first gaze at that area reflects the efficiency of attention captured in that area.
Duration of first fixation in AOI/s
The duration of the first gaze at the area of interest, the longer the time, the more difficult or attractive the information processing is.
Total duration of fixation in AOI/s
The total sum of all gaze times on the area of interest is used to measure the overall visual appeal of a certain area.
Average duration of fixation in AOI/s
The average duration of each gaze within the region of interest reflects the average cognitive processing depth of the participant toward a specific area.
Total duration of visit/s
The total time spent in the area of interest reflects the overall stay time of the participants in a specific area.
Number of fixations in AOI/times
The number of gazes within the same area of interest. The more gazes there are, the higher the degree of attention in the corresponding area.
Number of Visits/times
The number of follow-up visits to the same area of interest reflects the level of visual appeal of that area.
Statistical analysis
SPSS Statistics 26.0 statistical software was used for data analysis. All data are expressed as mean±standard deviation. For instrumental skin measurements between male and female participants, an independent samples t-test and a one-way ANCOVA (with age as the covariate) were used. The questionnaire data were analyzed using an independent samples t-test and chi-squared test. Ordinal data are presented as the number of cases (percentage). Prior to any independent-samples t-test, Shapiro–Wilk normality and Levene’s homogeneity-of-variance tests were performed. If both groups showed a normal distribution and homogeneity of variance, the independent-samples t-test was used; if at least one group deviated from normality or variances were unequal, the Mann–Whitney U test (rank-sum test) was applied. The significance level was set at α = 0.05.
ResultsParticipant characteristics
A total of 79 subjects were included in this study, among whom 31 were men and 48 were women (aged 31–47 years), as shown in Table 3.
Participant characteristics.
Groups
Number
Average age
Men
31
40.1 ± 3.9
Women
48
41.4 ± 4.0
Differences in physiological parameters related to scalp aging
Differences in physiological parameters related to scalp aging between the two groups were compared and analyzed. The specific data are presented in Table 4. Based on the results of the difference analysis, a difference graph was generated, as shown in Figure 2.
Differences in physiological parameters related to scalp aging.
Dimensions
Parameters
X¯ ± SD
P
P (ANCOVA)
Men
Women
Skin barrier
Hydration /AU
57.59 ± 32.95
51.55 ± 27.50
0.450
0.250
TEWL/g/m2h
24.08 ± 6.02
23.51 ± 5.87
0.457
0.565
Skin microecology
Temperature/°C
32.01 ± 0.76
32.15 ± 0.60
0.691
0.302
pH/−
5.88 ± 0.92
6.28 ± 0.73
0.026*
0.039#
Sebum /ug/cm2
59.32 ± 40.08
43.80 ± 29.15
0.088
0.085
Proportion of dandruff area/%
20.60 ± 7.49
24.40 ± 8.22
0.042*
0.033#
The softness of the skin/mm
1.41 ± 0.69
1.36 ± 0.61
0.972
0.816
Glossiness/GU
3.57 ± 1.67
3.84 ± 2.83
0.833
0.785
Scalp skin color
a*/−
9.71 ± 5.29
6.99 ± 3.60
0.011*
0.006#
b*/−
10.08 ± 4.83
8.08 ± 2.61
0.151
0.109
*Indicates a significant difference, p < 0.05. “−” indicates that the data has no specific unit.
#Indicates a significant difference, p < 0.05 (ANCOVA).
Physiological difference indicators of the scalps between men and women.
Three box and violin plots comparing men and women on three metrics: pH, Desquamation Index, and a* value. Men are represented in gray, women in red. Women's pH and Desquamation Index are statistically higher, indicated by an asterisk. Each plot shows data distribution and outliers.Relationship between scalp aging and barrier
The scalp barrier function is composed of the stratum corneum and the sebaceous film. The “brick-and-mortar” structure of the stratum corneum consists of corneocytes and intercellular lipids, with ceramides helping to prevent water loss and defend against external aggressors, thereby maintaining scalp health (26). Transepidermal water loss (TEWL) is a key indicator for evaluating skin barrier integrity (27). In this study, TEWL values and stratum corneum moisture content were used as two critical parameters to comprehensively assess the barrier function of the participants’ scalps. The results indicate that, within the 31–47 age group characterized by ongoing aging, no significant differences were observed between men and women in barrier-related metrics, suggesting that gender does not exert a substantial influence on scalp barrier function at this stage of aging.
Relationship between scalp aging and microecology
The scalp microecology comprises the microbial communities (such as bacteria, fungi, and viruses) on the scalp surface and around hair follicles, as well as their interactions with the scalp environment (28, 29). Scalp aging is often accompanied by microecological imbalance, with dandruff serving as a prominent external manifestation (30). Its formation is closely associated with the overgrowth of Malassezia, which breaks down triglycerides in sebum into free fatty acids, thereby compromising the scalp barrier and triggering inflammation and desquamation (31). Additionally, an elevated scalp pH is linked to microecological dysregulation, as higher pH levels can disrupt the natural barrier and lead to microbial imbalance (32).
To comprehensively evaluate scalp microecology, this study selected dandruff area percentage and pH level as primary indicators, with temperature, sebum, softness, and glossiness as secondary parameters. The results revealed that women exhibited significantly higher dandruff coverage and pH levels than men, with no significant differences observed in the other parameters between the sexes. Related studies (33, 34) also report that women’s forehead and facial pH levels are significantly higher than those of men. These results suggest that significant gender differences exist in scalp aging and microbiome imbalance.
Figure 3 illustrates the distribution characteristics of dandruff in male and female participants: (a) a grayscale map shows the distribution of dandruff, and (b) a color height map in which red, orange, and light green indicate areas with thicker scaling, while dark blue and light blue represent thinner scaling.
Comparison of dandruff distribution characteristics between men and women.
Grayscale and color height maps comparing male and female samples. The left panels (a) show grayscale maps, while the right panels (b) display color height maps. The textures and patterns differ between the male and female representations.Relationship between scalp aging and scalp skin color
Changes in pigmentation are among the visible manifestations of scalp aging (10, 35). A normal, healthy scalp typically exhibits a bluish-white tone with good elasticity and gloss. Alterations in scalp color—such as excessive sebum secretion, dryness and dullness, abnormal hyperkeratosis, or atrophy—often indicate an aging state (22). In this study, the a* and b* values from the CIE (International Commission on Illumination) standard color system were used as key indicators to evaluate the scalp skin color. The a* value represents the green–red axis, with higher values indicating stronger redness, while the b* value corresponds to the blue–yellow axis, with higher values indicating stronger yellowness (36, 37).
The results showed that, among participants aged 31–47, men had significantly higher a* values than women (p < 0.05), whereas no significant gender difference was observed in b* values (p > 0.05). This finding indicates that, within this age group, male scalps exhibit a relatively higher degree of redness.
Self-assessment
The self-assessment results of scalp-related indicators for men and women obtained through questionnaire surveys are shown in Table 5.
Self-assessment results of the subjective questionnaires.
Dimensions
Characteristics
X¯ ± SD
P
Men
Women
Skin barrier
Moisture
2.81 ± 0.54
2.92 ± 1.11
0.145
Glossiness
2.87 ± 0.92
2.75 ± 0.84
0.566
Greasiness
2.32 ± 1.01
2.90 ± 1.04
0.565
Tightness
3.06 ± 0.81
2.79 ± 0.87
0.192
Skin microecology
Burning
3.02 ± 0.33
2.99 ± 0.21
0.533
Itching
2.68 ± 0.87
2.69 ± 0.95
0.749
Scurf
3.17 ± 0.87
2.90 ± 0.88
0.160
Softness
3.13 ± 0.67
3.19 ± 0.79
0.618
Hair loss
3.16 ± 0.90
2.54 ± 0.90
0.005*
Scalp skin color
Redness
3.58 ± 0.92
3.79 ± 0.97
0.294
*Indicates a significant difference (p < 0.05).
According to the data presented in Table 5, no significant differences were observed between men and women in subjective barrier-related assessments, such as perceptions of moisture, glossiness, greasiness, and tightness (p > 0.05), which is consistent with the objective instrumental measurements. Regarding microecological evaluation, self-reported hair loss concerns were significantly greater among female participants than male participants. Similarly, female participants rated their dandruff severity higher than male participants, aligning with the objective finding that dandruff area coverage was significantly greater in female participants (p < 0.05). In terms of scalp skin color, subjective questionnaire responses indicated no significant gender difference in self-perceived scalp redness, although male participants reported slightly higher values. Objectively, the a* value—reflecting redness—was significantly higher in male participants (p < 0.05), showing a consistent trend between subjective and objective measures.
Visual attention study on the characteristics of scalp agingResults of the eye-tracking instrument
In the AOI analysis conducted using Tobii Pro Lab software, a stimulus image containing five scalp aging features—dandruff, pigmentation, gray hair, oily scalp, and hair loss—was divided into five independent areas of interest (AOIs), with each feature corresponding to one AOI. A schematic diagram of the AOI division and an example of a heatmap are presented in Figure 4. Descriptive results of the related parameters are summarized in Table 6.
Diagram of the AOI division and an example of a heatmap.
Top row displays heat maps of scalps showing areas with different fixation times, indicated by color intensity. The bottom row presents AOI division diagrams of scalps labeled with issues like dandruff, oily scalp, hair loss, gray hair, and pigmentation.
Descriptive statistics of region of interest gaze on scalp aging characteristics.
Gender
Parameters
Characteristics
Dandruff
Pigmentation
Gray hair
Oily scalp
Hair loss
Men
Time to first fixation in AOI/s
2.37
4.29
2.79
1.41
2.47
Women
2.68
5.67
4.21*#
1.74
1.85
Men
Duration of first fixation in AOI/s
0.45
0.34
0.34
0.29
0.29
Women
0.41
0.37
0.38
0.32
0.26
Men
Total duration of fixation in AOI/s
3.08
2.46
3.48*#
3.87
2.65
Women
3.70
2.93
2.87
3.56
3.07
Men
Average duration of fixation in AOI/s
0.43
0.39
0.37
0.35
0.29
Women
0.57*#
0.45
0.43
0.46
0.41*#
Men
Total duration of visit/s
3.18
2.54
4.04*#
4.09
2.73
Women
3.98*#
3.03
2.99
3.73
3.25
Men
Number of fixations in AOI/times
8.52
6.90
10.94*#
12.19
9.35
Women
9.06
7.68
8.55
11.84
10.26
Men
Number of visits/times
3.81
3.10
5.52
6.35*#
5.84
Women
4.17
3.60
4.63
5.06
5.85
*Indicates a significant difference (p < 0.05).
#Indicate a significant difference (ANCOVA, p < 0.05).
According to the results in Table 6, significant gender-based differences were observed in visual attention to scalp aging features:
Dandruff: Women exhibited significantly longer average fixation duration (0.57 s) and visit duration (3.98 s) compared to men (0.43 s and 3.18 s, respectively; p < 0.05), indicating that women allocated more sustained visual attention and cognitive processing to dandruff-related features.
Pigmentation: None of the seven parameters showed significant gender differences (p > 0.05), suggesting similar levels and patterns of visual attention to pigmentation in both genders, which may be attributed to the relatively low visual salience of this feature on the scalp.
Gray hair: Men had a significantly shorter time to first fixation (2.79 s) than women (4.21 s), while demonstrating significantly longer total fixation duration within the AOI (3.48 s), longer visit duration (4.04 s), and higher fixation count within the AOI (10.94) compared to women (2.87 s, 2.99 s, and 8.55, respectively; p < 0.05). These results indicate that men responded more quickly to gray hair and engaged in more intensive and frequent visual processing of this feature.
Oily scalp: A significant gender difference was observed only in the number of visits to the AOI, with men (6.35) showing significantly higher values than women (5.06; p < 0.05), suggesting that men attended more frequently to oily scalp features and incorporated them more often into their visual processing.
Hair loss: Women showed a significantly longer average fixation duration (0.41 s) than men (0.29 s; p < 0.05), reflecting more sustained visual engagement with hair loss features.
Visual perception questionnaire
To further investigate the visual attention characteristics reflected in the eye-tracking data, this study employed a combination of questionnaires and on-site interviews to supplement the analysis of participants’ visual perception. Significant differences were observed between men and women (p < 0.05), with detailed results presented in Table 7.
Subjective evaluations of scalp aging characteristics by men and women.
Dimensions
Characteristics
Proportion/%
Women
Men
χ2
P
Frequency
Proportion/%
Frequency
Proportion/%
Pay attention to the features first
Dandruff
34.18
16
33.33
11
35.48
0.830
0.934
Oily scalp
8.86
4
8.33
3
9.68
Hair loss
53.16
26
54.17
16
51.61
Gray hair
2.53
1
2.08
1
3.23
Pigmentation
1.27
1
2.08
0
0.00
Attractiveness evaluation
Positive
8.86
4
8.33
3
9.68
0.091
0.956
Negative
69.62
34
70.83
21
67.74
Neutral
21.52
10
20.83
7
22.58
Emotional response
Greatly worried
27.85
13
27.08
9
29.03
0.677
0.713
A little worried
72.15
34
70.83
23
74.19
Do not care
1.27
1
2.08
0
0.00
First impression influence
Yes
88.61
43
89.58
27
87.10
0.115
0.734
No
11.39
5
10.42
4
12.90
The questionnaire results indicated the following:
First noticed feature: In terms of subjective perception, hair loss was the most frequently first-noticed scalp aging feature among both male and female participants, followed by dandruff. No significant gender difference was observed in the initial feature of attention. This differs from the eye-tracking analysis data, suggesting an inconsistency between initial visual attention and subjective awareness during the search process.
Attractiveness evaluation: The majority of participants believed that scalp aging features negatively affect attractiveness, with a slightly higher proportion of women holding this view, although the difference was not statistically significant. A small number of participants perceived a bidirectional relationship between scalp aging and attractiveness, while very few considered these features to have a positive impact. These results indicate that scalp aging is widely regarded as a negative aesthetic attribute, potentially influencing others’ evaluations of one’s attractiveness (38).
Emotional response: The majority of participants reported concern regarding scalp aging, with only a very small minority expressing indifference. No significant gender differences were observed in emotional responses. These results suggest that scalp aging evokes considerable sensitivity and psychological attention, which may be related to societal emphasis on youthful appearance and personal investment in self-image (39).
Impact on first impression: The majority of participants indicated that scalp aging features could affect first impressions. This finding suggests that scalp appearance may serve as a visual cue in social interactions, thereby influencing judgments about an individual’s physical condition and overall image.
Conclusion
This study investigated scalp aging characteristics and visual attention patterns in a sample of 79 Han Chinese participants (31 men, 48 women) aged 31–47 years from Shanghai, China, using an integrated approach that combined non-invasive instrumental measurements (scalp physiology), eye-tracking (visual attention), and subjective evaluations (questionnaires). Non-invasive instruments were employed to assess three physiological dimensions: barrier function, microecology, and scalp skin color. Eye-tracking quantified participants’ visual attention to scalp aging features, while subjective evaluations reflected self-perceived scalp conditions and emotional responses. This multi-method approach provides valuable insights into scalp aging differences within the Chinese population.
In terms of scalp physiology: (1) No significant gender differences were observed in scalp barrier function, such as stratum corneum moisture content and TEWL. Subjective assessments were consistent with instrumental measurements. This finding aligns with a study by Darlenski et al. (40), which reported no significant gender-based differences in epidermal barrier function in areas such as the forearm and palm, and our study further confirms that this finding also holds true for the scalp. (2) Significant gender differences were observed in scalp microecology. Women exhibited significantly higher dandruff area coverage and pH than men. Subjectively, women also reported more severe hair loss concerns. Furthermore, self-rated dandruff severity was consistent with instrumental measurements, both indicating more pronounced dandruff issues in women. (3) Regarding scalp skin color, men exhibited significantly higher a* values than women, a result consistent with studies conducted in North Indian (41) and Mexican populations (42), which also reported a tendency toward higher a* values in men. No significant gender difference was observed in b* values. The consistency of these findings across populations reinforces the validity of our conclusions.
In visual attention: Significant gender-based differences were observed in participants’ visual attention to scalp aging features. Women allocated more sustained attention and cognitive resources to dandruff and hair loss, whereas men exhibited more focused and frequent attention to gray hair and oily scalp. These differences may be influenced by sociocultural contexts and individual cognitive habits (43, 44), reflecting distinct visual processing strategies between genders. Subjective questionnaires revealed that 53.16% of participants considered hair loss the most noticeable feature of scalp aging, while 34.18% identified dandruff as the primary concern. However, eye-tracking data indicated that gray hair received the shortest time to first fixation, suggesting that it captures visual attention most rapidly during visual search. This discrepancy between subjective perception and initial gaze behavior may stem from interactions between visual processing strategies and sociocognitive biases, wherein self-construct characteristics also shape an individual’s perception and information processing (45, 46). Furthermore, the majority of participants (69.62%) believed that scalp aging negatively affects attractiveness and expressed high levels of concern (95.95% reported being “Greatly worried” or “A little worried”), highlighting the social significance of scalp appearance in interpersonal interactions.
In conclusion, this study comprehensively evaluated scalp aging characteristics and visual attention patterns in Chinese adults aged 31–47 years using a multi-dimensional methodology. It revealed significant gender-based differences in physiological traits and visual behavior, providing new perspectives on scalp aging and underscoring the value of an integrated assessment approach. However, a limitation of this study is that the sample was restricted to Han Chinese individuals in Shanghai, which may not fully represent other regions or ethnic groups. Future research should expand the sample to include more diverse populations and regions to enhance the generalizability of the findings.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material; further inquiries can be directed to the corresponding author.
Ethics statement
The studies involving humans were approved by Shanghai Jiyan Biomedical Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
SD and DC were employed by Shanghai Jiyan Biomedical Development Co., Ltd. and Yunnan Botanee Bio-technology Group Co., Ltd. RQ and FW were employed by Yunnan Botanee Bio-technology Group Co., Ltd. and Yunnan Characteristic Plant Extraction Laboratory Co., Ltd.
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